Evidence map›Paper›PMID 32733931›Full record

ArticleBioMed research international2020

Prognostic Value of an m6A RNA Methylation Regulator-Based Signature in Patients with Hepatocellular Carcinoma.

Xiaomin Wu, Xiaojing Zhang, Leilei Tao, Xichao Dai, Ping Chen

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. NCancers · 2022
    Review
  6. Construction and validation of mIET systems biology · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Novel insights into the mBiomarker research · 2021
    Review
  14. Review
  15. The emerging roles of mInternational journal of biological sciences · 2021
    Review
  16. Article
  17. Identification of Critical mBioMed research international · 2021
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Xiaomin WuDepartment of Oncology, Yancheng No. 1 People's Hospital, Nantong University, Yancheng 224200, China.ORCID https://orcid.org/0000-0003-1783-4143
Xiaojing ZhangDepartment of Gynecologic Oncology, Zhejiang Cancer Hospital, Hangzhou 315000, China.ORCID https://orcid.org/0000-0003-2440-6788
Leilei TaoDepartment of Oncology, Yancheng No. 1 People's Hospital, Nantong University, Yancheng 224200, China.ORCID https://orcid.org/0000-0003-0660-799X
Xichao DaiDepartment of Oncology, Yancheng No. 1 People's Hospital, Nantong University, Yancheng 224200, China.ORCID https://orcid.org/0000-0002-1207-3026
Ping ChenDepartment of Oncology, Yancheng No. 1 People's Hospital, Nantong University, Yancheng 224200, China.ORCID https://orcid.org/0000-0001-5243-5880
Nantong University · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposesHepatocellular carcinoma (HCC) is one of the most common malignant tumors in the world. Recent researches have demonstrated that m6A methylation regulators play a key role in various cancers, such as gastric cancer and colon adenocarcinoma. Several m6A methylation regulators are reported to predict the prognosis of HCC. Therefore, there is a need to further identify the predictive value of m6A methylation regulators in HCC.

methodsWe utilized The Cancer Genome Atlas (TCGA) database to obtain the gene expression profile of m6A RNA methylation regulators and clinical information for patients with HCC. Besides, we identified two clusters of HCC with various clinical factors by consensus clustering analysis. Then the least absolute shrinkage and selection operator (LASSO) and the Cox regression analysis were applied to construct a prognostic signature.

resultsExcept for ZC3H13 and METTL14, a majority of the thirteen m6A RNA methylation regulators were significantly overexpressed in HCC specimens. HCC patients were classified into two groups (cluster 1 and cluster 2). The cluster 1 was with a significantly worse prognosis than cluster 2, and most of the 13 known m6A RNA methylation regulators were upregulated in cluster 1. Besides, we developed a prognostic signature consisting of YTHDF2, YTHDF1, METTL3, KIAA1429, and ZC3H13, which could successfully differentiate high-risk patients. More importantly, univariate and multivariate Cox regression analysis indicated that the signature-based risk score was an independent prognostic factor for patients with HCC.

conclusionsOur study showed these five m6A RNA methylation regulators can be used as practical and reliable prognostic tools of HCC, which might have potential value for therapeutic strategies.

Indexed as

AdenosineCarcinoma, HepatocellularGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateLiver NeoplasmsMethylationPrognosisReproducibility of ResultsRisk FactorsRNA, NeoplasmAdenosineN-methyladenosineRNA, Neoplasm

Identifiers

PMID32733931
PMCPMC7378627
OpenAlexW3043284929

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.